|
|
Volume
6: No. 3, July 2009
REVIEW
A Systematic Review of Food Deserts, 1966-2007
Julie Beaulac; Elizabeth Kristjansson, PhD; Steven Cummins, PhD
Suggested citation for this article: Beaulac J, Kristjansson E, Cummins S. A systematic review of food deserts, 1966-2007. Prev Chronic Dis 2009;6(3):A105.
http://www.cdc.gov/pcd/issues/2009/
jul/08_0163.htm. Accessed [date].
PEER REVIEWED
Abstract
Introduction
“Food deserts,” areas characterized by poor access to healthy and affordable food, may contribute to social and spatial disparities in diet and diet-related health outcomes. However, the extent to which food deserts exist is debated. We review the evidence for the existence of food deserts in socioeconomically disadvantaged areas.
Methods
We conducted a systematic review of primary, quantitative, observational studies, published in English or French, that used geographic or market-basket approaches in high-income countries. The literature search included electronic and hand searches and peer-reviewed and grey literature from 1966 through 2007. We also contacted key researchers to identify other studies. We analyzed the findings and quality of the studies qualitatively.
Results
Forty-nine studies in 5 countries met inclusion criteria; the amount and consistency of the evidence varied by country. These studies were a mix of geographic and market-basket approaches, but the methodologic quality of studies and completeness of reported findings were mixed. We found clear evidence for disparities in food access in the United States by income and race. Findings from other high-income countries were sparse and equivocal.
Conclusions
This review suggests that food deserts exist in the United States, where
area-level deprivation compounds individual disadvantage. Evidence for the existence of food deserts in other high-income nations is weak.
Back to top
Introduction
“Food deserts,” areas characterized by relatively poor access to healthy and affordable food, may contribute to social disparities in diet and diet-related health outcomes, such as cardiovascular disease and obesity (1-3). The term
“food desert” reportedly originated in Scotland in the early 1990s and was used to describe poor access to an affordable and healthy diet (4). Although the term
“food desert” can mean a literal absence of retail food in a defined area, studies of food deserts
more commonly assess differential accessibility to healthy and affordable food between socioeconomically advantaged and disadvantaged areas.
In the last decade, research on food deserts has become increasingly common, but this research is also a source of debate (4). Many primary studies have been conducted on food deserts, and some attempts have been made to compile the existing evidence (2,5-7). Despite the burgeoning interest in food deserts, we could find no systematic review of them. We address this gap by systematically reviewing the evidence for food deserts, specifically in socioeconomically disadvantaged areas. Food
deserts in disadvantaged areas are arguably of more concern because a process of
“deprivation amplification” may contribute to social disparities, whereby area-level deprivation compounds individual disadvantage (8,9). The objective of this review was to systematically and critically review the literature to determine whether access to healthy, affordable food in retail stores varies by area socioeconomic status to the disadvantage of socioeconomically deprived areas. In addition, we critique the methodologic rigor of existing evidence.
Back to top
Methods
We included quantitative studies from high-income countries (10) if they compared 2 or more geographic areas that differed by socioeconomic indicator of disadvantage and, for market-basket comparisons, involved more than 1 type of food. We considered market-basket studies that compared a selection of food items across areas and stores in terms of availability, variety, price, or quality; geographic studies that compared the accessibility of different types of food stores; and studies that
combined geographic and market-basket approaches. We allowed both random and nonrandom sampling methods; however, we excluded studies that compared preidentified food deserts to other areas. We also excluded studies that investigated change as a function of time or intervention and studies that did not involve food retail stores (eg, restaurants) (11,12). Eligible outcomes included average distance to nearest food stores, store density by area or population, average selling space, availability
and variety of items, price of food, and food quality. Variety was defined as number of different types or brands of the same food item.
We searched the following electronic databases for all years since inception of the database through September 2007: CINAHL, EMBASE, MEDLINE, PsycINFO, Social Services Abstracts, Sociological Abstracts, and ABI INFORM/Global. We searched these databases for original research articles
written in English or French. The OVID search strategy used free-text terms and subject headings
(Appendix A). We searched other databases and the Journal of Business online by using relevant free-text
terms and conducted a grey literature search by using Google and Google Scholar. We hand-searched reference lists of included studies and contacted key researchers in the field (Diez-Roux, Giskes, Raine, Turrell, and Zenk) to identify other relevant studies.
Two authors independently reviewed search results, reviewed retrieved studies to determine whether they should be included, and abstracted outcomes data. We independently assessed the methodologic quality of studies that met our inclusion criteria. Instead of rating or scoring each study, we rated the quality to describe how methodologically robust each included study was. Six criteria were common to all types of studies, 3 were unique to market-basket studies, and 1 was unique to geographic
studies (Appendix B). When findings were reported in several articles, we used the most recent published version to rate quality and outcomes, unless different outcomes were published in different articles (13,14).
Back to top
Results
The literature search identified 2,826 studies; of these, 106 were retrieved. After detailed inspection of retrieved studies, 57 were excluded and 49 were included. Reasons for exclusion were irrelevant outcomes or comparisons (n = 21), not a study (n = 6), inappropriate method of gathering or using data (n = 2), methods not relevant (n = 16), inappropriate or no comparison area (n = 15), only 1 food item studied (n = 1), inadequate information (n = 10), and preselected food deserts (n = 3).
Some studies were excluded for multiple reasons.
The 49 included studies consisted of 22 market-basket studies, 17 geographic studies, and 10 mixed-methods studies (Appendix C). Thirty-seven were from published sources, and 12 were from unpublished sources. Thirty-four were conducted in the United States, 5 in the United Kingdom, 6 in Canada, 3 in Australia, and 1 in New Zealand. They varied in scope from a comparison of 2 areas in 1 city (15) to a comparison of food stores across the United States (16). Dates ranged from 1966 to 2007; 3
studies were published in the 1960s, 2 in the 1970s, 2 in the 1980s, 12 in the 1990s, and 29 after 2000; 1 study had no date. Some geographic studies considered all types of food retail stores, whereas others only considered supermarkets.
Among market-basket studies, the number of food items in baskets varied; the largest basket included
more than 80 items (17)
and the smallest included 18 items (18). Some studies focused on 1 type of basket (eg, typical market basket or a healthy food basket), and others compared a healthy food basket to an unhealthy food basket.
The 17 geographic survey studies were of moderately high quality. Reporting of raw data and statistics and precision of data were problematic in some studies. The 10 mixed-methods studies were higher quality; however, nearly all failed to report interrater reliability. The quality of the 22 market-basket studies was variable and generally poorer. Interrater reliability was rarely reported; many also had problems with store selection, reporting raw data, statistics, and participation rate. In
addition, many of these studies did not control for item quality and only compared outcomes within type of store and not across neighborhood.
Geographic survey outcomes
United States
Geographic areas with a high proportion of low-income or African American residents were underserved by food retailers compared with more advantaged areas (19 studies: 18 in support, 1 mixed). Evidence on rural/urban differences was mixed.
Low-income areas (8 studies) and areas with a high proportion of African Americans (5 of the 8 studies) had fewer supermarkets or chain stores per capita (3,7,14,19-22) and fewer midsized
or large stores (23) than did advantaged areas. Three studies combined income
and race; in these, areas characterized by low income and a high proportion of
African Americans and Latinos had few supermarkets or chain stores per capita
(24-26). Four studies that were unadjusted for population found few supermarkets or chain stores in low-income (5,27-29) and African American areas (5).
Distance to supermarkets (3,13,29) was farther for those living in low-income areas and for areas with a high proportion of African Americans (3,30). In addition, 2 studies found that supermarkets in low-income areas had less selling space (21,23). In another study (31), stores in middle-income neighborhoods had more selling space than did those in low- and high-income neighborhoods. Three studies found that low-income areas with a high proportion of African Americans had more convenience
stores (22,24,25), while 1 study found no difference (29).
When comparing rural and urban areas, rural areas had less store selling space (31). In contrast, 1 small study found that 2 rural areas had more grocery stores per capita than did 2 urban areas (32).
United Kingdom
Low-income areas had fewer chains but more large, independent stores and greengrocers per capita (33). One study found more food stores of all types in deprived areas compared with more advantaged areas (34).
Canada
One of 3 Canadian studies showed half as many grocery stores and 3 times more convenience stores in a low-income area (15). One study (35,36) found mixed results; distance to stores was shortest for middle-income areas. In another, low-income areas were better served by stores than other areas (37).
Australia and New Zealand
The relationship between area income and store accessibility was nonlinear in 1 Australian study (38), such that middle-income areas had the most stores, but low-income areas were closer to a supermarket. Rural New Zealanders (39) and Australians (40) lived farther from stores than did urban residents. In addition, rural areas in Australia had fewer stores per capita (40).
Market-basket outcomes
United States
Findings regarding price were mixed and complex. One study showed higher prices in low-income areas (20), and another (41) found higher prices for African American areas but mixed results by area income. Six studies (18,42-46) had mixed results by area income (eg, lower prices in middle-income areas than in lower- and higher-income areas or similar prices overall but higher prices on items of comparable quality); another was mixed for area income and race together (17). In addition, 4 studies
(28,47-49) showed no difference in price, and 3 found that prices were lower in low-income or African American areas (24,25,50). Prices
were lower in urban than in rural areas (47,51,52), while 1 study reported mixed results (32).
In terms of availability and quality of healthy foods, disadvantaged areas fared poorer;
5 studies found poorer accessibility for disadvantaged areas (19,25,26,45,50), and 4 found mixed results (24,41,49,53).
United Kingdom
Findings regarding price were variable. One study found slightly higher
prices for healthy food in low-income areas (54), while another found
differences only in fruit and vegetable prices (33). Other studies found few
differences (55) and lower prices for healthy food in low-income neighborhoods than in high-income neighborhoods (56).
Two studies found lower availability (54,56) and lower variety of healthy foods (56) in disadvantaged areas. Two other studies (33,55), however, found no difference in availability. One study found food quality to be worse in low-income areas (54), although another reported no difference (33).
Canada
Food availability (15,57) and prices (15,58) did not differ significantly between low- and high-income areas. However, rural and remote areas had higher prices (58,59) and poorer availability for all types of food baskets (58).
Australia and New Zealand
No differences were found between low- and high-income areas regarding availability and variety, and differences in price were mixed (60). In another study, availability of food decreased and the price of a healthy food basket increased steadily as area remoteness increased (61).
Back to top
Discussion
Food deserts exist, at least in the United States. Evidence is both abundant and robust enough for us to conclude that Americans living in low-income and minority areas tend to have poor access to healthy food. However, studies on the price of food were generally
of low quality, and their findings were mixed. Evidence from other countries is sparse and equivocal. The evidence that is available is much less compelling than evidence from the United States. On this basis,
evidence from other countries does not warrant firm conclusions at this time on whether access to healthy, affordable food systematically varies to the disadvantage of socioeconomically deprived areas.
The environment in which we live, work, and play contributes to health and socioeconomic differences in health over and above the influence of individual characteristics (62). We found evidence for structural inequalities in the food retail environment and believe that these inequalities may contribute to inequalities in diet and diet-related outcomes. For the United States, our findings suggest a process of deprivation amplification (9), since structural problems related to food retail
appear to further disadvantage low-income and minority Americans, who are already limited in their ability to purchase healthy food.
Less access to supermarkets and chain stores in low-income neighborhoods may create barriers to accessing healthy, low-cost food for those who lack access to transportation; in 2001, 26.5% of Americans with incomes below $20,000 did not own a car (63). This barrier, combined with the increased presence of small, independent stores and convenience stores in low-income neighborhoods, may limit shopping to stores that charge higher prices (24,42). These stores have a
poor selection of
healthy foods and a wide selection of unhealthy foods, which can contribute to poor diet. In the United States, increased access to supermarkets is associated with lower prevalence of overweight and obesity (64), improved fruit and vegetable consumption, and better diet quality among African Americans (13,65), low-income households (66), and pregnant women (67). In contrast, increased access to convenience stores is associated with increased risk of obesity (64).
In considering the influence of the environment on health, the quality of existing amenities must be taken into account (9), in addition to their availability and accessibility. This review shows that low-income areas are also disadvantaged in this regard. Availability of healthy food is associated with better diet (68); perception of better selection and quality of fresh fruit and vegetables is associated with increased fruit and vegetable consumption (65).
Evidence on neighborhood food price from the United States was inconsistent. However, studies showed higher prices among convenience stores and small, independent stores, which are more prevalent in low-income and African American communities. Furthermore, the finding of higher prices for healthier food baskets (45) is supported by a recent economic analysis (69) that demonstrated that energy-dense diets cost less than healthier diets. These observations suggest that people with limited food
budgets may not be able to purchase healthy food. Indeed, people on low incomes cite the high cost of healthy foods as a barrier to eating healthily (45,70). Lower fruit and vegetable prices are associated with lower body mass index among elementary school children; effects are particularly strong for those children who are disadvantaged by poverty or race (71).
Implications for policy
A recent article (9) highlighted the need for nutrition policy to be based on sound research evidence, but the government of the United Kingdom has been pursuing a policy agenda based on evidence from early, small studies (4). Our review concurs with the conclusion that there is little evidence that socioeconomically deprived areas in the United Kingdom are systematically disadvantaged by food deserts. We do not mean to imply that accessing food in the United Kingdom is without challenges,
but more evidence is needed.
In contrast to the situation in the United Kingdom, evidence shows that socioeconomic inequalities in nutrition environments exist in the United States. Therefore, plausible and equitable policy and planning responses are needed. We suggest that local, federal, and state governments consider environmental and social interventions to decrease price disparities between healthy and unhealthy foods, facilitate the entry of supermarkets and other food stores into low-income areas, encourage the
development of local grocery cooperatives, encourage the advertisement of healthy foods, and foster the development of more community food projects.
This review illustrates the salience of context; evidence is not necessarily generalizable across countries or even between municipalities in some countries. The fact that evidence from different countries varies widely suggests national and regional differences in planning regulation and law, patterns of residential segregation, and differing local social and cultural environments (9,72). The conclusions of this review may change after the evidence base is expanded for countries where
evidence is sparse.
Implications for research
Further research on this topic is warranted, particularly in countries other
than the United States. Studies should incorporate both market-basket and geographic surveys. We recommend random samples or censuses of all stores in study areas. Before sampling, all food retail outlets in an area (including convenience stores) should be characterized and classified, and prespecified boundaries should be strictly adhered to. Thoughtful consideration should be given to market baskets that
reflect local tastes and preferences. Market baskets should also contain discriminator items, such as healthy, high-quality foods, rather than just including foods for a low-income diet. In addition, prices of healthy and unhealthy food should be contrasted (73). Food and store quality should be rated, and prices of items of similar quality and size should be compared.
Although the studies included in this review improve our understanding of disparities in access to health-promoting resources, future studies should be extended to routinely include data on residents’ shopping and health behaviors and health outcomes (1).
When such data are included, we can fully quantify the effect of socioenvironmental risk on diet and related diseases.
Back to top
Acknowledgments
This study was partially funded by Globalization and the Health of Canadians: A Transdisciplinary Research Network Project, CIHR project no. H0A-80070. Steven Cummins is supported by a UK National Institute of Health
research fellowship.
Back to top
Author Information
Corresponding Author: Julie Beaulac, St Boniface General Hospital, M4 — McEwen Bldg, 409 Tache Ave, Winnipeg, Manitoba R2H 2A6, Canada. Telephone: 204-235-3296. E-mail:
jbeaulac@exchange.hsc.mb.ca. At the time of this research, Ms Beaulac was affiliated with the University of Ottawa, Ottawa, Ontario, Canada.
Author Affiliations: Elizabeth Kristjansson, University of Ottawa, Ottawa, Ontario, Canada; Steven Cummins, University of London, London, England.
Back to top
References
- Cummins S. Neighbourhood food environment and diet: time for improved conceptual models? Prev Med 2007;44(3):196-7.
- Wrigley N. “Food deserts” in British cities: policy context and research priorities. Urban Stud 2002;39:2029-40.
- Zenk SN, Schulz AJ, Israel BA, James SA, Bao S, Wilson ML.
Neighborhood racial composition, neighborhood poverty, and supermarket accessibility in metropolitan Detroit. Am J Public Health 2005;95(4):660-7.
- Cummins S, Macintyre S.
“Food deserts” — evidence and assumption in health policy making. BMJ 2002;325(7361):436-8.
- Dalton E, Ehrlich S, Flores M, Heberlein E, Niemeyer M. Policy and management paper: food availability in Allegheny
County, PA. Pittsburgh (PA): The Heinz School Review.
- Sexton DE. Comparing the cost of food to blacks and to whites: a survey. J Mark 1971;35:40-6.
- Shaffer A. The persistence of LA’s grocery gap: the need for a new food policy and approach to market development. Los Angeles (CA): Center for Food and Justice; 2002. http://departments.oxy.edu/uepi/cfj/publications/Supermarket%20Report%20November%202002.pdf. Accessed February 26, 2009.
- Whelan A, Wrigley N, Warm D, Cannings E. Life in a “food desert.” Urban Stud 2002;39:2083-100.
- Macintyre S. Deprivation amplification revisited; or is it always true that poorer places have poorer access to resources for healthy diets and physical activity? Int J Behav Nutr Phys Act 2007;4:32.
- World Bank. World development indicators. The world by income. 2006. http://devdata.worldbank.org/wdi2006/contents/income.htm. Accessed February 10, 2009.
- Block JP, Scribner RA, DeSalvo KB.
Fast food, race/ethnicity, and income: a geographic analysis. Am J Prev Med 2004;27(3):211-7.
- Lewis LB, Sloane DC, Nascimento LM, Diamant AL, Guinyard JJ, Yancey AK, et al.
African Americans’ access to healthy food options in south Los Angeles restaurants. Am J Public Health 2005;95(4):668-73.
- Morland K, Wing S, Diez Roux A, Poole C.
Neighborhood characteristics associated with the location of food stores and food service places. Am J Prev Med 2002;22(1):23-9.
- Morland K, Wing S, Diez Roux A.
The contextual effect of the local food environment on residents’ diets: the Atherosclerosis Risk in Communities Study. Am J Public Health 2002;92(11):1761-7.
- Latham J, Moffat T.
Determinants of variation in food cost and availability in 2 socioeconomically contrasting neighbourhoods of Hamilton, Ontario, Canada. Health Place 2007;13(1):273-87.
- Powell LM, Slater S, Mirtcheva D, Boa Y, Chaloupka FJ.
Food store availability and neighborhood characteristics in the United States. Prev Med 2007;44(3):189-95.
- Marcus BH. Similarity of ghetto and nonghetto food costs. J Mark Res 1969;6:368.
- National Commission on Food Marketing. Prices charged in stores in low and high income areas of 6 large cities. Special Studies in Food Marketing 1966;121-44.
- Baker EA, Schootman M, Barnidge E, Kelly C. The role of race and poverty in access to foods that enable individuals to adhere to dietary guidelines. Prev Chronic Dis 2006;3(3).
http://www.cdc.gov/pcd/issues/2006/jul/05_0217.htm. Accessed February 10, 2009.
- Green M. The poor pay more for less. Part 1: grocery shopping. New York (NY): City of New York, Department of Consumer Affairs; 1991.
- Cotterill R, Franklin A. The urban grocery store gap. University of Connecticut: Food Marketing Policy Center; 1995. http://www.fmpc.uconn.edu/publications/ip/ip8.pdf. Accessed February 26, 2009.
- Moore LV, Diez Roux AV.
Associations of neighborhood characteristics with the location and type of food stores. Am J Public Health 2006;96(2):325-31.
- From poverty, opportunity. Putting the market to work for lower income families. Washington (DC): The Brookings Institution; 2006. http://www.brookings.edu/metro/pubs/20060718_PovOp.pdf.
- Block D, Kouba J.
A comparison of the availability and affordability of a market basket in 2 communities in the Chicago area. Public Health Nutr 2006;9:837-45.
- Horowitz CR, Colson KA, Hebert PL, Lancaster K.
Barriers to buying healthy foods for people with diabetes: evidence of environmental disparities. Am J Public Health 2004;94(9):1549-54.
- Sloane DC, Diamant AL, Lewis LB, Yancey AK, Flynn G, Nascimento LM, et al.
Improving the nutritional resource environment for healthy living through community-based participatory research. J Gen Intern Med 2003;18(7):568-75.
- Alwitt LF, Donley TD. Retail stores in poor urban neighborhoods. J Consum Aff 1997;31:139-64.
- Chung C, Myers SL Jr. Do the poor pay more for food? An analysis of grocery store availability and food price disparities. J Consum Aff 1999;33:276-96.
- Morris PM, Neuhauser L, Campbell C. Food security in rural America. A study of the availability and costs of food. J Nutr Educ 1992;24:S52-8.
- Helling A, Sawicki DS. Race and residential accessibility to shopping and services. Housing Policy Debate 2003;14:69-101.
- Connecticut’s supermarkets: can new strategies address the geographic gaps? Hartford (CT): Hartford Food System; 2006. http://www.hartfordfood.org/Supermarkets.pdf. Accessed February 10, 2009.
- Smith D. Food deserts in the Willamette: a study of food access in Lane County, Oregon [master’s thesis]. Eugene (OR): University of Oregon; 2003.
- White M, Bunting J, Williams E, Raybould S, Adamson A, Mathers JC. Do
“food deserts” exist? A multilevel geographical analysis of the relationship between retail food access, socioeconomic position and dietary intake. Newcastle-on-Tyne (UK): University of Newcastle; 2003.
- Cummins S, Macintyre S. The location of food stores in urban areas: a case study in Glasgow. Br Food J 1999;101:545-53.
- Apparicio P, Micic Z, Shearmur R. Évaluation de l’accessibilité aux supermarchés d’alimentation à Montréal. Insitut
National de la Recherche Scientifique; 2004. http://www.ucs.inrs.ca/pdf/inedit2004_03.pdf. Accessed February 26, 2009.
- Apparicio P, Cloutier MS, Shearmur R.
The case of Montreal’s missing food deserts: evaluation of accessibility to food supermarkets. Int J Health Geogr 2007;6:4.
- Smoyer-Tomic KE, Spence JC, Amrhein C. Food deserts in the prairies? Supermarket accessibility and neighbourhood need in Edmonton, Canada. Prof Geogr 2006;58:307-26.
- Winkler E, Turrell G, Patterson C.
Does living in a disadvantaged area entail limited opportunities to purchase fresh fruit and vegetables in terms of price, availability, and variety? Findings from the Brisbane Food Study. Health Place 2006;12(4):741-8.
- Pearce J, Witten K, Bartie P.
Neighbourhoods and health: a GIS approach to measuring community resource accessibility. J Epidemiol Community Health 2006;60(5):389-95.
- O’Dwyer LA, Coveney J.
Scoping supermarket availability and accessibility by socio-economic status in Adelaide. Health Promot J Austr 2006;17(3):240-6.
- Hall BF. Neighborhood differences in retail food stores: income versus race and age of population. Econ Geogr 1983;59:282-95.
- Alcaly RE, Klevorick AK. Food prices in relation to income levels in New York City. J Bus 1971;44:380-97.
- Andrews M, Kantor LS, Lino M, Ripplinger D. Using USDA’s Thrifty Food Plan to assess food availability and affordability. Food Review 2001;24(2):45-53. http://www.ers.usda.gov/publications/FoodReview/May2001/FRV24I2h.pdf. Accessed February 11, 2009.
- Captain OB, McIntire MS.
Cost and quality of food in poverty and non-poverty urban areas. J Am Diet Assoc 1969;55(6):569-71.
- Jetter KM, Cassady DL.
The availability and cost of healthier food alternatives. Am J Prev Med 2006;30(1):38-44.
- MacDonald JM, Nelson PE. Do the poor still pay more? Food price variations in large metropolitan areas. J Urban Econ 1991;30:344-59.
- Crockett EG, Clancy KL, Bowering J. Comparing the cost of a Thrifty Food Plan market basket in 3 areas of New York State. J Nutr Educ 1992;24:71S-8S.
- Hayes LR. Are prices higher for the poor in New York City? J Consumer Policy 2000;23:127-52.
- Zenk SN, Schulz AJ, Israel BA, James SA, Bao S, Wilson ML.
Fruit and vegetable access differs by community racial composition and socioeconomic position in Detroit, Michigan. Ethn Dis 2006;16(1):275-80.
- Glanz K, Sallis JF, Saelens BE, Frank LD.
Nutrition Environment Measures Survey in stores (NEMS-S): development and
validation. Am J Prev Med 2007;32(4):282-9.
- Ambrose DM. Retail grocery pricing: inner city, suburban, and rural comparisons. J Bus 1979;52:95-102.
- Wright Morton L, Oakland MJ, Bitto EA, Sand M. Food in my community: a case study of a Davenport, Iowa,
neighborhood. Ames (IA): Iowa State University, Department of Sociology; 2003. http://www.soc.iastate.edu/extension/presentations/publications/ tech/Davenport%20Tech%20Report%201003.pdf. Accessed February 26, 2009.
- Sallis JF, Nader R, Atkins J.
San Diego surveyed for heart healthy foods and exercise facilities. Public Health Rep 1986;101:216-8.
- Sooman A, Macintyre S, Anderson A. Scotland’s health — a more difficult challenge for some? The price and availability of healthy foods in socially contrasting localities in the west of Scotland. Health Bull 1993;51(5):276-84.
- Cummins S, Macintyre S. A systematic study of an urban foodscape: the price and availability of food in greater Glasgow. Urban Stud 2002;39:2115-30.
- Mooney C. Cost and availability of healthy food choices in a London health district. J Hum Nutr Diet 1990;3:111-20.
- Bertrand L. Les disparités dans l’accès à des aliments santé à Montréal: une étude géomatique. Montreal (CA): Direction de Santé Publique Montréal; 2006. http://www.santepub-mtl.qc.ca/Publication/pdfnutrition/accesaliments.pdf. Accessed February 10, 2009.
- Travers KD, Cogdon A, McDonald W, Wright C, Anderson B, Maclean DR. Availability and cost of heart healthy dietary changes in Nova Scotia. J Can Diet Assoc 1997;58:176-83.
- Lawn J, Robbins H, Hill F.
Food affordability in air stage communities. Int J Circumpolar Health 1998;57(Suppl 1):182-8.
- Winkler E, Turrell G, Patterson C.
Does living in a disadvantaged area mean fewer opportunities to purchase fresh fruit and vegetables in the area? Findings from the Brisbane Food Study. Health Place 2006;12(3):306-19.
- Lee AJ, Darcy AM, Leonard D, Groos AD, Stubbs CO, Lowson SK, et al.
Food availability, cost disparity and improvement in relation to accessibility and remoteness in Queensland. Aust N Z J Public Health 2002;26(3):266-72.
- Stronks K, Dike vande Mheen H, Looman CWN, Mackenbach JP. Behavioural and structural factors in the explanation of socio-economic inequalities in health: an empirical analysis. Sociol Health Illn 1996;18:653-74.
- Pucher J, Renne JL. Socioeconomics of urban travel: evidence from the 2001 NHTS. Transportation Quarterly 2003;49-77.
- Morland K, Diez Roux A, Wing S.
Supermarkets, other food stores, and obesity. The Atherosclerosis Risk in Communities Study. Am J Prev Med 2006;30(4):333-9.
- Zenk SN, Schulz AJ, Hollis-Neely T, Campbell RT, Holmes N, Watkins G, et al.
Fruit and vegetable intake in African Americans: income and store characteristics. Am J Prev Med 2005;29(1):1-9.
- Rose D, Richards R.
Food store access and household fruit and vegetable use among participants in the US Food Stamp Program. Public Health Nutr 2004;7(8):1081-8.
- Laraia BA, Siega-Riz AM, Evenson KR.
Self-reported overweight and obesity are not associated with concern about enough food among adults in New York and Louisiana. Prev Med 2004;38(2):175-81.
- Cheadle A, Psaty BM, Curry S, Wagner E, Diehr P, Koepsell T, et al.
Community-level comparisons between the grocery store environment and individual dietary practices. Prev Med 1991;20(2):250-61.
- Drewnowski A, Darmon N.
Food choices and diet costs: an economic analysis. J Nutr 2005;135(4);900-4.
- Hamelin AM, Beaudry M, Habicht JP.
Characterization of household food insecurity in Quebec: food and feelings. Soc Sci Med 2002;54(1):119-32.
- Sturm R, Datar A.
Body mass index in elementary school children, metropolitan area food prices and food outlet density. Public Health 2005;119(12):1059-68.
- Cummins S, Macintyre S.
Food environments and obesity: neighbourhood or nation? Int J Epidemiol 2006;35(1):100-4.
- Anderson A, Dewar J, Marshall D, Cummins S, Taylor M, Dawson J, et al.
The development of a healthy eating indicator shopping basket tool (HEISB) for use in food access studies: identification of key food items. Public Health Nutr 2007;10(12):1440-7.
Back to top
|
|
